README.md

In Upsylon/predictor: Creates forecast based on historical data

Context :books:

This package comes with my Master Thesis in Business Analytics orientation of the Master in Management at HEC Lausanne. I obtained the grade of 6/6. The slides of the presentation are available here.

Objectives of the package :dart:

1. Automate the forecasting process of time series --> Based on historical sales data, forecasts are computed automatically.
2. Ensure a reproducible methodology. --> The library provides a variety of easily usable functions
3. Present the results visually and interactively --> This package comes with a Shiny App

The methodology includes: - An outlier detection algorithm. - Predictive models: - Time-Series: ARIMA, STLF, ETS - Machine Learning: Neural-Networks

Downloading the package :cd:

The package can be downloaded using the following functions:

```{r, eval = FALSE, echo = TRUE} if (!require("devtools")) install.packages("devtools")

devtools::install_github("Upsylon/predictor") # install the package library(predictor) # load the package ```

Utilisation :computer:

The package is composed of different functions. Their objectives and utilisation is detailed in their description.

Upsylon/predictor documentation built on June 16, 2022, 4:48 p.m.